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데이터 리터러시를 위한 머신러닝 기반 AI 융합 수업 모형 개발
Development of AI Convergence Education Model Based on Machine Learning for Data Literacy

산업과 과학 = Advanced Industrial SCIence, v.3 no.1, 2024년, pp.1 - 16  

강상우 (서울대학교 AI융합교육학과) ,  이유진 (서울대학교 AI융합교육학과) ,  임효정 (서울대학교 AI융합교육학과) ,  최원근 (서울대학교 AI융합교육학과)

초록
AI-Helper 아이콘AI-Helper

본 연구는 고등학교 학생들의 데이터 리터러시를 함양할 수 있는 머신러닝 기반 AI 융합 수업 모형과 수업 설계 원리를 개발하고, 그에 따른 상세 지침을 개발하는 것을 목적으로 하였다. 이를 위해 선행 문헌 연구를 통해 머신러닝을 기반으로 한 수업 모형과 설계 원리 및 상세 지침을 개발하고, 서울 소재 상업계열 특성화고등학교 학생 15명에게 적용하여 실행하였다. 연구 결과 학생들의 데이터 리터러시가 통계적으로 유의미(p< .001)하게 향상되었으므로 본 연구의 수업 모형이 학습자의 데이터 리터러시 향상에 긍정적인 영향을 주었음을 확인할 수 있었고, 앞으로 관련 연구로 이어지길 기대한다.

Abstract ▼ AI-Helper 아이콘AI-Helper

The purpose of this study is to develop a machine learning-based AI convergence class model and class design principles that can foster data literacy in high school students, and to develop detailed guidelines accordingly. We developed a machine learning-based teaching model, design principles, and ...

주제어

#머신러닝   #인공지능   #융합교육   #데이터 리터러시   #결정트리  

표/그림 (21)

참고문헌 (46)

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